In this post, we will look at how to compute the tail value at risk, or TVaR, from a sample dataset. At Analyze Re, we put quite a bit of effort into turning modelled catastrophe losses into informative metrics, fast. Though much of the computational cost of the exercise lies in running simulations with large datasets, the output of a simulation can be condensed into a more manageable representation. From this condensed form, we can compute useful, informative metrics like the TVaR, to help drive pricing decisions and strategic planning. Read More
The use of technology within the property-catastrophe reinsurance industry is a complex concept and one that is increasing in importance. In this post we will answer what it is and provide an overview of current practices in employing technology to support the property-catastrophe reinsurance underwriting life cycle, consisting of risk analysis, planning, and pricing. We will review the technological landscape as it is today and provide a basic understanding for what opportunities for innovation may exist for your organization. Read More
Advanced analytics for better decision-making and product development has been identified as a top business and technology trend for the reinsurance industry,
London | 23 October 2014 Data analytics provider Analyze Re is to launch the second phase of its risk engineering platform that will help global insurance and reinsurance companies to save money and improve profits.